چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| Background: Coronary heart disease (CHD) is the major cause of mortality in the world with a significant impact on the younger population. The aim of this study was to identify prematurity among CABG patients based on the clustering of CHD risk factors. Methods: Patients were recruited from an existing cohort of candidates for CABG surgery named Tehran Heart Center Coronary Outcome Measurement (THC-COM). A LCA model was formed using 11 potential risk factors as binary variables: cigarette smoking, obesity, diabetes, family history of CHD, alcohol use, opium addiction, hypertension, history of cerebrovascular accident (CVA), history myocardial infarction (MI), Peripheral vascular disease (PVD) and hyperlipidemia (HLP). We analyzed our data to figure out how the patients are going to be clustered based on their risk factors. Results: For 566 patients who were studied, the mean age (SD) and BMI of patients were 59.1 (8.9) and 27.3 (4.1), respectively. The LCA model fit with two latent classes was statistically significant (G2 = 824.87, df = 21, p <0.0001). The mean (SD) age of patients for class I and II were 55.66 (8.55) and 60.87 (8.66) respectively. Class I (premature) was characterized by a high probability of smoking, alcohol consumption, opium addiction, and history of MI (P<0.05), and class II by a high probability of obesity, diabetes, and hypertension. Conclusion: LCA calculated two groups of severe CHD with distinct risk markers. The younger group which is characterized by smoking, addiction, and the history of MI can be regarded as representative for premature CHD. |
| نویسنده | نفر چندم مقاله |
|---|---|
| لیلا جهانگیری | اول |
| مهدیه عباسعلیزاد فرهنگی | دوم |
| پروین سربخش | چهارم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| fcvm-08-707070.pdf | 1400/09/19 | 179234 | دانلود |
